José Garrido                       Peter Hieber                      Sascha Günther

José Garrido:
Dr. José Garrido is a Full Professor at the Department of Mathematics and Statistics at Concordia University, in Montreal, Canada.

After working as an actuarial analyst for Towers Watson in Montreal, Prof. Garrido received a Masters from Université Catholique de Louvain, in Belgium, and his PhD in 1987 from the Department of Statistics and Actuarial Sciences at the University of Waterloo, Canada. He is an Associate of the Society of Actuaries and of the Canadian Institute of Actuaries (CIA). His research interests are in Risk Theory, Loss Models, Insurance Statistics, Credibility Theory, Risk Management and Credit Risk, Machine Learning in Insurance, Predictive Modelling and Robust Statistics.

Prof. Garrido has written more than 50 articles in international refereed journals and conference proceedings. He is Associate Editor of several journals, including Insurance: Mathematics and Economics and the North American Actuarial Journal, as well as an Editor of the European Actuarial Journal and of the open access journal Risks. Prof. Garrido is a past President of the Actuarial Section of the Statistical Society of Canada, current Chair of the Academic Research Committee of the CIA and has served on the Scientific Committee of numerous international actuarial conferences. He is active in graduate education, having supervised 40 MSc, 14 PhD and 8 post-doctoral students.

Peter Hieber:
Dr. Peter Hieber is a (tenure-track) assistant professor at the Department of Actuarial Science at the Université de Lausanne (HEC Lausanne).

Prior to joining HEC Lausanne, he held various positions at the University of Ulm (Germany), UC Louvain (Belgium), TU Munich (Germany) and the University of Toronto (Canada). His main research interests lie in Life and Pension Insurance and Insurance Analytics with a focus on insurance contract design, pricing and risk management, optimal control and optimal asset allocation problems and the analysis of risk sharing schemes in Finance and Insurance.

Prof. Hieber publishes his research in major international journals like ASTIN Bulletin, Insurance: Mathematics and Economics, Scandinavian Actuarial Journal and European Journal of Operational Research. He was part of the organizing committee of the last two editions of the Insurance: Mathematics and Economics conference in Munich (2019) and in its 2021 virtual edition.

Sascha Günther:
Sascha Günther is a PhD student at the Department of Actuarial Science at the Université de Lausanne (HEC Lausanne) and works as the assistant of Prof. Peter Hieber.

He graduated with a Master’s degree in Mathematics in Business and Economics from the Technical University of Dresden (Germany). His research focuses on Variable Annuities and the application of Machine Learning in Insurance.